3D MIMO Beamforming via Pre-Coding Matrix Segmentation
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Solution Overview
Problem
Conventional wireless transmission systems face challenges in achieving effective interference suppression and system multiplexing gain, particularly in 2D MIMO systems which do not fully exploit multi-user diversity and interference suppression between cells and users.
Innovation Solution
The implementation of a 3D MIMO technique that generates a high-resolution beamforming vector through a 3D pre-coding matrix, allowing for 2D cell divisions and multi-user multiplexing gains, and enabling higher-dimensional coordination transmission and resource allocation in multi-cell scenarios, using active antenna arrays with antenna, feeder, and RF units to reduce power consumption and improve network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If 2D MIMO beamforming is used, then the beamforming vector has good definition in a specific direction, but it has bad or zero definition in the orthogonal direction, resulting in insufficient interference suppression
Solution Approach 1:
The patent transitions from 2D MIMO beamforming to 3D MIMO beamforming by adding the elevation dimension. The 3D pre-coding matrix incorporates both azimuth and elevation angles, creating a four-dimensional beamforming vector (two dimensions for azimuth, two dimensions for elevation). This dimensional expansion enables the beamforming vector to have good definition in both the specific direction and the orthogonal direction, thereby suppressing interference effectively.
2Productivity
If more antennas are deployed to improve system capacity, then the system channel capacity increases, but the device complexity and power consumption increase
Solution Approach 1:
The patent exploits the vertical dimension by deploying antennas in both horizontal and vertical directions, creating a three-dimensional antenna array structure. This 3D configuration allows the system to achieve higher channel capacity by utilizing spatial resources in three dimensions rather than just two, while the structured 3D pre-coding matrix maintains manageable system complexity through mathematical optimization.
3Object-affected harmful factors
If 3D pre-coding matrix is designed to form narrow beamforming vector, then interference suppression improves, but the computing complexity increases
Solution Approach 1:
The patent segments the 3D pre-coding matrix into multiple sub-matrices corresponding to different antenna groups and dimensions. The beamforming vector construction is divided into manageable components that can be computed separately and then combined. This segmentation reduces the overall computing complexity while maintaining the narrow beamforming capability and interference suppression performance.
4Productivity
If 2D cell division is implemented, then multi-user multiplexing gain is improved, but the system cannot provide services to more users in multi-user scenario
Solution Approach 1:
The patent extends 2D cell division to 3D cell division by incorporating the elevation dimension. This creates more granular and numerous virtual cells in three-dimensional space, allowing the system to serve more users simultaneously. The 3D pre-coding matrix enables precise beamforming to multiple users in different spatial locations, thereby increasing both the multi-user multiplexing gain and the total number of users that can be served.
Data Source
AI summary
A 3D MIMO based radio transmission method, comprising: establishing a communication connection between a base station pre-configured with an active antenna array and a user equipment terminal, and establishing a 3D MIMO channel model; when some active antennas in the active antenna array have failed, automatically reconfiguring the active antenna array to realise redundancy; and generating a 3D pre-coded matrix through the 3D MIMO channel model, so as to form a beam forming vector having a high resolution in two dimensions and obtain a multi-user multiplexing gain.